Usability survey of biomedical question answering systems
<p>Abstract</p> <p>We live in an age of access to more information than ever before. This can be a double-edged sword. Increased access to information allows for more informed and empowered researchers, while information overload becomes an increasingly serious risk. Thus, there is...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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BMC
2012-09-01
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| Series: | Human Genomics |
| Online Access: | http://www.humgenomics.com/content/6/1/17 |
| _version_ | 1798024615173292032 |
|---|---|
| author | Bauer Michael A Berleant Daniel |
| author_facet | Bauer Michael A Berleant Daniel |
| author_sort | Bauer Michael A |
| collection | DOAJ |
| description | <p>Abstract</p> <p>We live in an age of access to more information than ever before. This can be a double-edged sword. Increased access to information allows for more informed and empowered researchers, while information overload becomes an increasingly serious risk. Thus, there is a need for intelligent information retrieval systems that can summarize relevant and reliable textual sources to satisfy a user's query. Question answering is a specialized type of information retrieval with the aim of returning precise short answers to queries posed as natural language questions. We present a review and comparison of three biomedical question answering systems: askHERMES (<url>http://www.askhermes.org/</url>), EAGLi (<url>http://eagl.unige.ch/EAGLi/</url>), and HONQA (<url>http://services.hon.ch/cgi-bin/QA10/qa.pl</url>).</p> |
| first_indexed | 2024-04-11T18:05:27Z |
| format | Article |
| id | doaj.art-92f2453e1236455a8dbac7087b82ae6d |
| institution | Directory Open Access Journal |
| issn | 1479-7364 |
| language | English |
| last_indexed | 2024-04-11T18:05:27Z |
| publishDate | 2012-09-01 |
| publisher | BMC |
| record_format | Article |
| series | Human Genomics |
| spelling | doaj.art-92f2453e1236455a8dbac7087b82ae6d2022-12-22T04:10:21ZengBMCHuman Genomics1479-73642012-09-01611710.1186/1479-7364-6-17Usability survey of biomedical question answering systemsBauer Michael ABerleant Daniel<p>Abstract</p> <p>We live in an age of access to more information than ever before. This can be a double-edged sword. Increased access to information allows for more informed and empowered researchers, while information overload becomes an increasingly serious risk. Thus, there is a need for intelligent information retrieval systems that can summarize relevant and reliable textual sources to satisfy a user's query. Question answering is a specialized type of information retrieval with the aim of returning precise short answers to queries posed as natural language questions. We present a review and comparison of three biomedical question answering systems: askHERMES (<url>http://www.askhermes.org/</url>), EAGLi (<url>http://eagl.unige.ch/EAGLi/</url>), and HONQA (<url>http://services.hon.ch/cgi-bin/QA10/qa.pl</url>).</p>http://www.humgenomics.com/content/6/1/17 |
| spellingShingle | Bauer Michael A Berleant Daniel Usability survey of biomedical question answering systems Human Genomics |
| title | Usability survey of biomedical question answering systems |
| title_full | Usability survey of biomedical question answering systems |
| title_fullStr | Usability survey of biomedical question answering systems |
| title_full_unstemmed | Usability survey of biomedical question answering systems |
| title_short | Usability survey of biomedical question answering systems |
| title_sort | usability survey of biomedical question answering systems |
| url | http://www.humgenomics.com/content/6/1/17 |
| work_keys_str_mv | AT bauermichaela usabilitysurveyofbiomedicalquestionansweringsystems AT berleantdaniel usabilitysurveyofbiomedicalquestionansweringsystems |